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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Prediction of Traffic Accident Severity Based on Random Forest
Jianjun Yang, Siyuan Han, Yimeng Chen
Journal of Advanced Transportation (2023) Vol. 2023, pp. 1-8
Open Access | Times Cited: 23

Showing 23 citing articles:

Predictive analytics: Unveiling road accident risks with machine learning algorithms
Amrutha Vadakepurayil Ananthakrishnan, Devika Krishnan Maya, M. B. Mukesh Krishnan
AIP conference proceedings (2025) Vol. 3281, pp. 060043-060043
Closed Access
Identification of Road Traffic Characteristics Affecting Autonomous Driving Behavior in Urban Mixed Traffic
Cheol Oh, Hyung-Bok Lee, Jeonghoon Jee, et al.
(2025)
Closed Access
Traffic accident prediction using neural network
Aiswaryah Radhakrishnan, D. Baskaran, Freni Chellan, et al.
AIP conference proceedings (2025) Vol. 3175, pp. 020066-020066
Closed Access
Towards Safer Roads: Predicting the Severity of Traffic Accident in Montreal using Machine Learning
Bappa Muktar, Vincent Fono
(2024)
Open Access | Times Cited: 3
Relationship between urban traffic crashes and temporal/meteorological conditions: understanding and predicting the effects
Xiao Tang, Zihan Liu, Zhenlin Wei
Multimodal Transportation (2024), pp. 100175-100175
Open Access | Times Cited: 2
An error components mixed logit with heterogeneity in means and variance for fixed object occupant severity outcomes
Rohan Shrestha, Lan Ventura, Narayan Venkataraman, et al.
Analytic Methods in Accident Research (2024) Vol. 42, pp. 100330-100330
Closed Access | Times Cited: 2
Crash severity analysis: A data-enhanced double layer stacking model using semantic understanding
Di Yang, Tao Dong, Peng Wang
Heliyon (2024) Vol. 10, Iss. 9, pp. e30117-e30117
Open Access | Times Cited: 2
Multi-Resolution Analysis with Visualization to Determine Network Attack Patterns
Dong Hyun Jeong, Bong Keun Jeong, Soo-Yeon Ji
Applied Sciences (2023) Vol. 13, Iss. 6, pp. 3792-3792
Open Access | Times Cited: 4
Towards Safer Roads: Predicting the Severity of Traffic Accident in Montreal Using Machine Learning
Bappa Muktar, Vincent Fono
(2024)
Open Access | Times Cited: 1
Towards efficient and accurate prediction of freeway accident severity using two-level fuzzy comprehensive evaluation
Guanghui Wang, LI Jin-bo, Lingfeng Shen, et al.
Heliyon (2024) Vol. 10, Iss. 16, pp. e36396-e36396
Open Access | Times Cited: 1
Finding the Factors Influencing the Severity of Traffic Accident Victims in Sleman Regency Using Ordinal Logistic Regression Analysis
Amalia Rizqi Cahyani, Mujiati Dwi Kartikasari
Jurnal Varian (2024) Vol. 8, Iss. 1, pp. 1-10
Open Access | Times Cited: 1
Feature fusion for a robust traffic accident assistance forecasting model with deep learning
Luis Pérez-Sala, Manuel Curado, José F. Vicent
Applied Soft Computing (2024), pp. 112326-112326
Open Access
Strategie innovative per la logistica: il valore del kitting e assembly nel settore idrotermosanitario
Angelo Leogrande
(2024)
Open Access
Optimal Layout Method for Roadside LiDAR and Camera
Yan Li, Han Zhang, Zhiheng Cheng, et al.
IEEE Access (2024) Vol. 12, pp. 26905-26918
Open Access
Elevating smart city mobility using RAE-LSTM fusion for next-gen traffic prediction
Najat Rafalia, Idriss Moumen, F. Raji, et al.
Indonesian Journal of Electrical Engineering and Computer Science (2024) Vol. 35, Iss. 1, pp. 503-503
Open Access
Estimating Saturation Flow Rate of Signalized Intersections Using 511 Traveler System Cameras in Louisiana
Daniel Adaekele Obekpa
SSRN Electronic Journal (2024)
Closed Access
Predicting Severity of US Traffic Accidents: A Machine Learning Approach
Rahul Oad, Ali Irtaza Sayani, Shadi Banitaan
(2024), pp. 679-685
Closed Access
Toward Safer Roads: Predicting the Severity of Traffic Accidents in Montreal Using Machine Learning
Bappa Muktar, Vincent Fono
Electronics (2024) Vol. 13, Iss. 15, pp. 3036-3036
Open Access
Online Traffic Crash Risk Inference Method Using Detection Transformer and Support Vector Machine Optimized by Biomimetic Algorithm
B. Zhang, Zhuqi Li, Bingjie Li, et al.
Biomimetics (2024) Vol. 9, Iss. 11, pp. 711-711
Open Access
Predicting risky driving behavior with classification algorithms: results from a large-scale field-trial and simulator experiment
Thodoris Garefalakis, Eva Michelaraki, Stella Roussou, et al.
European Transport Research Review (2024) Vol. 16, Iss. 1
Open Access
Casualty Analysis of the Drivers in Traffic Accidents in Turkey: A CHAID Decision Tree Model
Zeliha Cagla Kuyumcu, Hakan Aslan, Nilüfer Yurtay
Applied Sciences (2024) Vol. 14, Iss. 24, pp. 11693-11693
Open Access
Predicting Accident Severity: An Analysis of Factors Affecting Accident Severity Using Random Forest Model
Adekunle Adefabi, Somtobe Olisah, Callistus Obunadike, et al.
International Journal on Cybernetics & Informatics (2023) Vol. 12, Iss. 6, pp. 107-121
Open Access | Times Cited: 1
The Future of Crime Prevention: Police Case Analysis Using Machine Learning
R Dharsan., M Krishanthini, C Traveena, et al.
(2023), pp. 454-459
Closed Access
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